User Story 440914: Q&M: Retire Use basketball stats (2 of 3)

Author: gitName

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learn-pr/achievements.yml

@@ -5795,3 +5795,13 @@ achievements:
   title: Design a hybrid network architecture on Azure
   summary: You have a traditional on-premises infrastructure that you need to connect to resources in Azure. In this module, you learn how to select a connectivity method for your use cases that balances functionality, cost, and security.
   iconUrl: /training/achievements/design-a-hybrid-network-architecture.svg
+- uid: learn.student-evangelism.optimize-basketball-player-rest-breaks.badge
+  type: badge
+  title: Create a web app that uses data to make decisions on the basketball court
+  summary: "Use JavaScript, Azure, GitHub, and Visual Studio Code to write a web app that helps the Tune Squad coach make data-based decisions on the basketball court, inspired by SPACE JAM: A NEW LEGACY."
+  iconUrl: /training/achievements/student-evangelism/optimize-basketball-player-rest-breaks.svg
+- uid: learn.student-evangelism.predict-basketball-player-efficiency-ratings.badge
+  type: badge
+  title: Predict basketball player efficiency ratings by using machine learning and Visual Studio Code
+  summary: "By using anonymized data from real and animated basketball players in the upcoming film *Space Jam: A New Legacy*, create a machine learning model to cleanse data to be used during games. Also explore bimodal data distributions by using Python in Visual Studio Code."
+  iconUrl: /training/achievements/student-evangelism/predict-basketball-player-efficiency-ratings.svg

learn-pr/sports-machine-learning/mixed-reality-for-sports-fans/includes/5-the-data.md

@@ -114,7 +114,7 @@ This JSON file hasn't been completed yet. That's because you had an outlier in y
 
 ## Add the missing player back in the data
 
-In the first module of this learning path inspired by *Space Jam: A New Legacy*, you realized you had some outliers in your data. If you completed this module, you might remember that in [Unit 5: Check for outliers](/training/modules/predict-basketball-player-efficiency-ratings/5-check-for-outliers?azure-portal=true) there was an outlier who had a low value for points and possessions. This was row 35, ID 40. It turns out that player was Yosemite Sam!
+In the first module of this learning path inspired by *Space Jam: A New Legacy*, you realized you had some outliers in your data. If you completed this module, you might remember that there was an outlier who had a low value for points and possessions. This was row 35, ID 40. It turns out that player was Yosemite Sam!
 
 You want to make sure he's added back into your JSON data so that he can show up in your Mixed Reality experience. You'll have to write a bit more code.